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        "author": "Jannis Vamvas",
        "author_email": "jannis.vamvas@gmail.com",
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            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
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            "Programming Language :: Python :: 3.4",
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        "description": ".. image:: https://travis-ci.org/jvamvas/rhymediscovery.svg?branch=master\n    :target: https://travis-ci.org/jvamvas/rhymediscovery\n\nrhymediscovery\n--------------\n\nA python package for detecting rhyme schemes in poetry. With standard configuration, it achieves about 65% accuracy in the `rhymedata <https://github.com/sravanareddy/rhymedata>`_ corpus.\n\nBasic usage\n===========\n\n.. code-block::\n\n    pip install rhymediscovery\n\n.. code-block:: python\n\n   >>> from rhymediscovery import find_schemes\n   >>> find_schemes.find_schemes([['herz', 'welt', 'geld', 'schmerz'], ...])\n   [(('herz', 'welt', 'geld', 'schmerz'), (1, 2, 1, 2)), ...]\n\n\nCommand line\n============\n\nThe command line tool :code:`find_schemes` expects a file formatted like the `.pgold` files in the `rhymedata <https://github.com/sravanareddy/rhymedata>`_ corpus. A sample file can be found `here in the repo <https://github.com/jvamvas/rhymediscovery/blob/master/tests/data/sample.pgold>`_.\n\nTo demonstrate the tool, we clone the `rhymedata <https://github.com/sravanareddy/rhymedata>`_ corpus:\n\n.. code-block::\n\n    git clone https://github.com/sravanareddy/rhymedata.git\n\nThen we run:\n\n.. code-block::\n\n    find_schemes rhymedata/english_gold/1415.pgold 1415.out\n\nThe :code:`1415.pgold` file from the corpus has been manually annotated with the correct rhyme schemes. Thus we can evaluate our result file  using:\n\n.. code-block:: bash\n\n    evaluate_schemes 1415.out rhymedata/english_gold/1415.pgold\n\n\nCredits\n=======\nThis package implements the following paper:\n\n* Sravana Reddy and Kevin Knight. \"Unsupervised discovery of rhyme schemes.\" Proceedings of ACL 2011. (`pdf <http://cs.wellesley.edu/~sravana/papers/rhymes_acl.pdf>`_)\n\nIt is a fork of the reference implementation by `@sravanareddy <https://github.com/sravanareddy>`_ which is available in its original form `here <https://github.com/sravanareddy/rhymediscovery>`_.",
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